CadetX
Back to All Openings
Eggersmann - Gruppe logo
Eggersmann - Gruppe•Data ScienceGraduateOn-site

Data Scientist (m/w/d) – Anomalieerkennung für Recyclinganlagen

AachenCompetitive • Active Opening
APPLY ON OFFICIAL SITE

Verified opening from Eggersmann - Gruppe's official portal

Role Description & Responsibilities

Data Science

About Eggersmann - Gruppe

Eggersmann - Gruppe is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.

CadetX Candidate Advantage: As an applicant for this Data Science role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.

CadetX Role Brief & Company Specifications

Role Mission & Impact

As a Data Scientist (m/w/d) – Anomalieerkennung für Recyclinganlagen at Eggersmann - Gruppe, you will join an innovative team focused on building scalable, data-driven solutions. Apply statistical analysis, machine learning algorithms, and predictive modeling to solve mission-critical challenges and extract actionable value from massive data assets.

This opening provides direct commercial exposure, structured technical mentorship, and the opportunity to contribute to production workflows across Eggersmann - Gruppe's core business domains.

Key Responsibilities & Day-to-Day Scope

  • ✓ Perform exploratory data analysis (EDA), statistical hypothesis testing, and rigorous feature engineering on multi-dimensional datasets.
  • ✓ Design, train, validate, and tune predictive machine learning models using Python (scikit-learn, XGBoost, LightGBM).
  • ✓ Collaborate with software and data engineers to integrate model inferences into production services and APIs.
  • ✓ Design and evaluate A/B experiments to measure the commercial impact of product features and algorithmic enhancements.
  • ✓ Synthesize complex statistical findings into clear executive summaries and technical documentation.

Official Qualifications & Technical Requirements

  • • Enrolled in or graduated from a Bachelor's, Master's, or PhD program in Data Science, Computer Science, Statistics, Mathematics, Physics, or related quantitative field.
  • • Strong programming proficiency in Python and standard scientific computing libraries (pandas, numpy, scipy, scikit-learn).
  • • Solid theoretical and practical foundation in probability, statistics, regression, classification, and validation techniques.
  • • Working knowledge of SQL for pulling and structuring training datasets from petabyte-scale repositories.
  • • Curiosity to explore unstructured data and translate open-ended business problems into quantitative solutions.

Preferred Skills & Technology Stack

  • + Familiarity with distributed compute frameworks (Apache Spark, Databricks).
  • + Experience with experiment tracking tools (MLflow, Weights & Biases) and containerization (Docker).
  • + Personal GitHub repository or competition profile (Kaggle) demonstrating practical data science projects.

Tech Stack & Tools in this role

Expected technical competencies for Day 1 productivity:

Predictive ModelingMachine Learning AlgorithmsFeature EngineeringPython (scikit-learn)

★ Life & Culture at Eggersmann - Gruppe

Verified Employer

Eggersmann - Gruppe champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.

APPLY ON OFFICIAL SITE